Instructions to use illusion615/Z-Image-Turbo-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use illusion615/Z-Image-Turbo-MLX with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("illusion615/Z-Image-Turbo-MLX", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - MLX
How to use illusion615/Z-Image-Turbo-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Z-Image-Turbo-MLX illusion615/Z-Image-Turbo-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Draw Things
- DiffusionBee
Upload text_encoder/model-00002-of-00003.safetensors with huggingface_hub
Browse files
text_encoder/model-00002-of-00003.safetensors
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